Given a single input image, we want our model to generate new diverse samples that are similar in appearance and structure to that of the input image, but also allow for semantically coherent variations.
We build upon the common DDPM [1]} framework (sec:preliminaries) and introduce several modifications to the training procedure and to the core network of DDPM. These are highlighted below:
